Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study

Remote Sensing of Environment

Volumn 176, Issue , 2016, Pages 139-151

  Verrelst, Jochem ^a   van der Tol, Christiaan ^b   Magnani, Federico ^c   Sabater, Neus ^a   Rivera, Juan Pablo ^a   Mohammed, Gina ^d   Moreno, Jose ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c UNIVERSITY OF BOLOGNA   (Italy)

^d P and M Technologies   (Canada)

Author keywords

Band analysis; Canopy; FLEX; Photosynthesis; Regression; SCOPE; Sun induced fluorescence

Indexed keywords

ADAPTIVE OPTICS; CHLOROPHYLL; DATA HANDLING; EMISSION SPECTROSCOPY; PHOTOSYNTHESIS; PLANTS (BOTANY); REGRESSION ANALYSIS; SPECTRUM ANALYSIS; VEGETATION;

BAND ANALYSIS; CANOPY; FLEX; REGRESSION; SCOPE;

FLUORESCENCE;

ALGORITHM; CANOPY EXCHANGE; CHLOROPHYLL; CORRELATION; DATA PROCESSING; FLUORESCENCE; GAUSSIAN METHOD; IMAGING METHOD; LEAF AREA INDEX; PHOTOSYNTHESIS; REGRESSION ANALYSIS; SOLAR RADIATION; SPECTROSCOPY; VEGETATION COVER;

EID: 84955592896     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.01.018     Document Type: Article

References (76)

1. Alonso L., Gómez-Chova L., Vila-Francés J., Amorós-López J., Guanter L., Calpe J., Moreno J. Sensitivity analysis of the Fraunhofer Line Discrimination method for the measurement of chlorophyll fluorescence using a field spectroradiometer. IGARSS 2007 2007.
2. Baker N.R. Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annual Review of Plant Biology 2008, 59:89-113.
3. Baret F., Weiss M., Lacaze R., Camacho F., Makhmara H., Pacholcyzk P., Smets B. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: principles of development and production. Remote Sensing of Environment 2013, 137:299-309.
4. Berk A., Anderson G.P., Acharya P.K., Bernstein L.S., Muratov L., Lee J., Shettle E.P. MODTRAN™ 5: 2006 update. Proceedings of SPIE - The International Society for Optical Engineering 2006, 6233. (II).
5. Berk A., Anderson G.P., Bernstein L.S., Acharya P.K., Dothe H., Matthew M.W., Hoke M.L. MODTRAN4 radiative transfer modeling for atmospheric correction. Proceedings of SPIE - The International Society for Optical Engineering 1999, 3756:348-353.
6. Chavez P.S. Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering and Remote Sensing 1996, 62:1025-1036.
7. Cheng Y., Middleton E., Zhang Q., Huemmrich K., Campbell P., Corp L., Daughtry C. Integrating solar induced fluorescence and the photochemical reflectance index for estimating gross primary production in a cornfield. Remote Sensing 2013, 5(12):6857-6879.
8. Cogliati S., Verhoef W., Kraft S., Sabater N., Alonso L., Vicent J., Colombo R. Retrieval of sun-induced fluorescence by advanced spectral fitting methods. Remote Sensing of Environment 2015, 169:344-357.
9. Collatz G.J., Ball J.T., Grivet C., Berry J.A. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agricultural and Forest Meteorology 1991, 54:107-136.
10. Collatz G.J., Ribas-Carbo M., Berry J.A. Coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Australian Journal of Plant Physiology 1992, 19:519-538.
11. Damm A., Guanter L., Paul-Limoges E., Van der Tol C., Hueni A., Buchmann N., Schaepman M.E. Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches. Remote Sensing of Environment 2015, 166:91-105.
12. Damm A., Guanter L., Verhoef W., Schläpfer D., Garbari S., Schaepman M.E. Impact of varying irradiance on vegetation indices and chlorophyll fluorescence derived from spectroscopy data. Remote Sensing of Environment 2015, 156:202-215.
13. Damm A., Guanter L., Laurent V.C.E., Schaepman M.E., Schickling U., Rascher U. FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data. Remote Sensing of Environment 2014, 147:256-266.
14. Daumard F., Goulas Y., Champagne S., Fournier A., Ounis A., Olioso A., Moya I. Continuous monitoring of canopy level sun-induced chlorophyll fluorescence during the growth of a sorghum field. IEEE Transactions on Geoscience and Remote Sensing 2012, 50:4292-4300.
15. Dayyoub A. Novel Techniques for the Remote Sensing of Photosynthetic Processes 2011, (PhD Thesis), University of Bologna, Italy.
16. Duffour C., Olioso A., Demarty J., Van der Tol C., Lagouarde J.P. An evaluation of SCOPE: a tool to simulate the directional anisotropy of satellite-measured surface temperatures. Remote Sensing of Environment 2015, 158:362-375.
17. ESA http://www.esa.int/Our_Activities/Observing_the_Earth/New_satellite_to_measure_plant_health.
18. Franck F., Juneau P., Popovic R. Resolution of the photosystem I and photosystem II contributions to chlorophyll fluorescence of intact leaves at room temperature. Biochimica et Biophysica Acta (BBA) - Bioenergetics 2002, 1556:239-246.
19. Frankenberg C., Fisher J.B., Worden J., Badgley G., Saatchi S.S., Lee J.E., Yokota T. New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophysical Research Letters 2011, 38. 10.1029/2011GL048738.
20. Genty B., Wonders J., Baker N.R. Non-photochemical quenching of Fo in leaves is emission wavelength dependent: consequences for quenching analysis and its interpretation. Photosynthesis Research 1990, 26:133-139.
21. Guanter L., Aben I., Tol P., Krijger J.M., Hollstein A., Köhler P., Landgraf J. Potential of the TROPOspheric monitoring instrument (TROPOMI) onboard the sentinel-5 precursor for the monitoring of terrestrial chlorophyll fluorescence. Atmospheric Measurement Techniques Discussions 2014, 7:12545-12588.
22. Guanter L., Alonso L., Gomez-Chova L., Meroni M., Preusker R., Fischer J., Moreno J. Developments for vegetation fluorescence retrieval from spaceborne high-resolution spectrometry in the O(2)-A and O(2)-B absorption bands. Journal of Geophysical Research-Atmospheres 2010, 115. 10.1029/2009JD013716.
23. Guanter L., Frankenberg C., Dudhia A., Lewis P.E., Gomez-Dans J., Kuze A., Grainger R.G. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sensing of Environment 2012, 121:236-251.
24. Guanter L., Gonzalez-Sanpedro M.C., Moreno J. A method for atmospheric correction of ENVISAT/MERIS data over land targets. International Journal of Remote Sensing 2007, 28:709-728.
25. Hak R., Lichtenthaler H.K., Rinderle U. Decrease of the fluorescence ratio F690/F730 during greening and development of leaves. Radiation and Environmental Biophysics 1990, 29:329-336.
26. Hilker T., Hall F.G., Coops N.C., Black A.T., Jassal R., Mathys A., Grant N. Potentials and limitations for estimating daytime ecosystem respiration by combining tower-based remote sensing and carbon flux measurements. Remote Sensing of Environment 2014, 150:44-52.
27. Jacquemoud S., Baret F. PROSPECT: a model of leaf optical properties spectra. Remote Sensing of Environment 1990, 34:75-91.
28. Joiner J., Guanter L., Lindstrot R., Voigt M., Vasilkov A.P., Middleton E.M., Frankenberg C. Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmospheric Measurement Techniques 2013, 6:2803-2823.
29. Joiner J., Yoshida Y., Vasilkov A.P., Yoshida Y., Corp L.A., Middleton E.M. First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences 2011, 8:637-651.
30. Kraft S., Del Bello U., Drusch M., Gabriele A., Harnisch B., Moreno J. On the demands on imaging spectrometry for the monitoring of global vegetation fluorescence from space. SPIE Proceedings 2013, 8870:88700N-887012.
31. Lichtenthaler H.K., Rinderle U. The role of chlorophyll fluorescence in the detection of stress conditions in plants. CRC Critical Reviews in Analytical Chemistry 1988, 19(Suppl. 1):S29-S85.
32. Liu X., Liu L. Assessing band sensitivity to atmospheric radiation transfer for space-based retrieval of solar-induced chlorophyll fluorescence. Remote Sensing 2014, 6(11):10656-10675.
33. Magnani F., Olioso A., Demarty J., Germain V., Verhoef W., Moya I., Van der Tol C. Assessment of vegetation photosynthesis through observation of solar induced fluorescence from space. ESTEC Contract No. 20678/07/NL/HE, Final Report 2009.
34. Maxwell K., Johnson G.N. Chlorophyll fluorescence: a practical guide. Journal of Experimental Botany 2000, 51:659-668.
35. Meroni M., Busetto L., Colombo R., Guanter L., Moreno J., Verhoef W. Performance of spectral fitting methods for vegetation fluorescence quantification. Remote Sensing of Environment 2010, 114:363-374.
36. Meroni M., Rossini M., Guanter L., Alonso L., Rascher U., Colombo R., Moreno J. Remote sensing of solar-induced chlorophyll fluorescence: review of methods and applications. Remote Sensing of Environment 2009, 113:2037-2051.
37. Mohammed G.H., Goulas Y., Magnani F., Moreno J., Olejníčková J., Rascher U., Drusch M. 2012 FLEX/Sentinel-3 Tandem Mission Photosynthesis Study. ESA/ESTEC Contract No. 4000106396/12/NL/AF 2014.
38. Moreno J., Asner G.P., Bach H., et al. Fluorescence explorer (FLEX): an optimized payload to map vegetation photosynthesis from space. AIAA 57th International astronautical Congress 2006, Vol. 3:2065-2074. IAC, Valencia.
39. Moya I., Daumard F., Moise N., Ounis A., Goulas Y. First airborne multiwavelength passive chlorophyll fluorescence measurements over La Mancha (Spain) fields. 2nd International Symposium on Recent Advances in Quantitative Remote Sensing 2006, 820-825.
40. Papageorgiou G.C., Govindjee Chlorophyll a fluorescence - a signature of photosynthesis 2004, 818. Springer.
41. Pedrós R., Goulas Y., Jacquemoud S., Louis J., Moya I. FluorMODleaf: A new leaf fluorescence emission model based on the PROSPECT model. Remote Sensing of Environment 2010, 114:155-167.
42. Perez-Priego O., Zarco-Tejada P.J., Miller J.R., Sepulcre-Canto G., Fereres E. Detection of water stress in orchard trees with a high-resolution spectrometer through chlorophyll fluorescence in-filling of the O-2-A band. IEEE Transactions on Geoscience and Remote Sensing 2005, 43:2860-2869.
43. Porcar-Castell A. A high-resolution portrait of the annual dynamics of photochemical and non-photochemical quenching in needles of Pinus sylvestris. Physiologia Plantarum 2011, 143(2):139-153.
44. Porcar-Castell A., Garcia-Plazaola J.I., Nichol C.J., Kolari P., Olascoaga B., Kuusinen N., Nikinmaa E. Physiology of the seasonal relationship between the photochemical reflectance index and photosynthetic light use efficiency. Oecologia 2012, 170(2):313-323.
45. Porcar-Castell A., Tyystjärvi E., Atherton J., Van der Tol C., Flexas J., Pfündel E.E., Berry J.A. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. Journal of Experimental Botany 2014, 65(15):4065-4095.
46. Rascher U., Alonso L., Burkart A., Cilia C., Cogliati S., et al. Sun-induced fluorescence - a new probe of photosynthesis: first maps from the imaging spectrometer HyPlant. Global Change Biology 2015, 10.1111/gcb.13017.
47. Rasmussen C.E., Williams C.K.I. Gaussian processes for machine learning 2006, MIT Press.
48. Reichstein M., Falge E., Baldocchi D., Papale D., Aubinet M., Berbigier P., et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global Change Biology 2005, 11(9):1424-1439.
49. Rossini M., Nedbal L., Guanter L., Ač A., Alonso L., Burkart A., Rascher U. Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis. Geophysical Research Letters 2015, 42:1632-1639.
50. Saltelli A., Annoni P., Azzini I., Campolongo F., Ratto M., Tarantola S. Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications 2010, 181:259-270.
51. Saltelli A., Tarantola S., Chan K.P.S. A quantitative model-independent method for global sensitivity analysis of model output. Technometrics 1999, 41:39-56.
52. Subhash N., Mohanan C.N. Curve-fit analysis of chlorophyll fluorescence spectra: application to nutrient stress detection in sunflower. Remote Sensing of Environment 1997, 60:347-356.
53. Timmermans J., Su Z., Van der Tol C., Verhoef A., Verhoef W. Quantifying the uncertainty in estimates of surface-atmosphere fluxes through joint evaluation of the SEBS and SCOPE models. Hydrology and Earth System Sciences 2013, 17:1561-1573.
54. Van der Tol C., Berry J.A., Campbell P.K.E., Rascher U. Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence. Journal of Geophysical Research - Biogeosciences 2014, 119:2312-2327.
55. Van der Tol C., Verhoef W., Timmermans J., Verhoef A., Su Z. An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. Biogeosciences 2009, 6:3109-3129.
56. Van Wittenberghe S., Alonso L., Verrelst J., Hermans I., Delegido J., Veroustraete F., Samson R. Upward and downward solar-induced chlorophyll fluorescence yield indices of four tree species as indicators of traffic pollution in Valencia. Environmental Pollution 2013, 173:29-37.
57. Van Wittenberghe S., Alonso L., Verrelst J., Moreno J., Samson R. Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties - a bottom-up approach. Remote Sensing of Environment 2015, 158:169-179.
58. Van Wittenberghe S., Verrelst J., Rivera J.P., Alonso L., Moreno J., Samson R. Gaussian processes retrieval of leaf parameters from a multi-species reflectance, absorbance and fluorescence dataset. Journal of Photochemistry and Photobiology B: Biology 2014, 134:37-48.
59. Verhoef W. Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment 1984, 16:125-141.
60. Verrelst J., Alonso L., Camps-Valls G., Delegido J., Moreno J. Retrieval of vegetation biophysical parameters using Gaussian process techniques. IEEE Transactions on Geoscience and Remote Sensing 2012, 50(5 PART 2):1832-1843. (6071004).
61. Verrelst J., Muñoz J., Alonso L., Delegido J., Rivera J.P., Camps-Valls G., Moreno J. Machine learning regression algorithms for biophysical parameter retrieval: opportunities for sentinel-2 and -3. Remote Sensing of Environment 2012, 118:127-139.
62. Verrelst J., Rivera J.P., Moreno J., Camps-Valls G. Gaussian processes uncertainty estimates in experimental sentinel-2 LAI and leaf chlorophyll content retrieval. ISPRS Journal of Photogrammetry and Remote Sensing 2013, 86:157-167.
63. Verrelst J., Rivera J.P., Van der Tol C., Magnani F., Mohammed G., Moreno J. Global sensitivity analysis of the SCOPE model: what drives simulated canopy-leaving sun-induced fluorescence?. Remote Sensing of Environment 2015, 166:8-21.
64. Vicent J., Sabater N., Tenjo C., Acarreta J.R., Manzano M., Rivera J.P., Moreno J. FLEX end-to-end mission performance simulator. IEEE Transactions on Geoscience and Remote Sensing 2015, (submitted for publication).
65. Von Caemmerer S. Biochemical models of Leaf Photosynthesis. Techniques in plant science no 2 2000, CSIRO Publishing, Collingwood.
66. Von Caemmerer S. Steady-state models of photosynthesis. Plant, Cell & Environment 2013, 36(9):1617-1630.
67. Weis E., Berry J.A. Quantum efficiency of photosystem II in relation to energy dependent quenching of chlorophyll fluorescence. Biochimica et Biophysica Acta 1987, 894:198-208.
68. Wohlfahrt G., Gu L. Opinion: the many meanings of gross photosynthesis and their implication for photosynthesis research from leaf to globe. Plant, Cell & Environment 2015, 10.1111/pce.12569.
69. Wolanin A., Rozanov V.V., Dinter T., Noël S., Vountas M., Burrows J.P., Bracher A. Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: feasibility study and first results. Remote Sensing of Environment 2015, 166:243-261.
70. Wong C.Y.S., Gamon J.A. Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers. New Phytologist 2015, 206:187-195.
71. Wong C.Y.S., Gamon J.A. The photochemical reflectance index provides an optical indicator of spring photosynthetic activation in evergreen conifers. New Phytologist 2015, 206:196-208.
72. Zarco-Tejada P.J., Gonzalez-Dugo V., Berni J.A.J. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. Remote Sensing of Environment 2012, 117:322-337.
73. Zarco-Tejada P.J., Morales A., Testi L., Villalobos F.J. Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance. Remote Sensing of Environment 2013, 133:102-115.
74. Zhang X., Liang S., Zhou G., Wu H., Zhao X. Generating global LAnd surface satellite incident shortwave radiation and photosynthetically active radiation products from multiple satellite data. Remote Sensing of Environment 2014, 152:318-332.
75. Zhang Y., Guanter L., Berry J.A., Joiner J., Van der Tol C., Huete A., Köhler P. Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models. Global Change Biology 2014, 20:3727-3742.
76. Zhao F., Guo Y., Verhoef W., Gu X., Liu L., Yang G. A method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements. Remote Sensing 2014, 6(10):10171-10192.